Route choice in pedestrians: determinants for initial choices and revising decisions

Area of Science:

• Collective behavior
• Human dynamics
• Agent-based modeling

Background:

• Understanding pedestrian movement is crucial for crowd safety and event management.
• Individual route choices in crowds are influenced by others' actions and available information.
• Both static (path length) and dynamic (queue length) factors impact pedestrian navigation.

Purpose of the Study:

• To investigate the mechanisms of pedestrian route choice.
• To determine how time-independent and time-dependent information influence route decisions.
• To model emergent route distributions in pedestrian crowds.

Main Methods:

• Conducted experiments with approximately 140 volunteers navigating various route scenarios.
• Developed and utilized an individual-based model to simulate pedestrian route choice.
• Analyzed factors like path length, queue length, exit width, and perceived crowdedness.

Main Results:

• Pedestrians' initial route choices resulted in a balanced distribution of individuals across available paths.
• A model incorporating trade-offs between exit width and predicted crowdedness explained emergent distributions.
• Few participants altered their chosen routes during the experiments.

Conclusions:

• Emergent balanced route usage in pedestrian crowds can be explained by simple heuristics.
• Pedestrians may compare estimated travel times to decide on route adjustments.
• Complex crowd movements can arise from conceptually simple individual behaviors.